{"id":"W7131225332","doi":"10.1109/eptc67330.2025.11392596","title":"Defect Z-Depth Determination in 2.5D ICs Using Magnetic Field Imaging","year":2025,"lang":"","type":"article","venue":"","topic":"Integrated Circuits and Semiconductor Failure Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"National Research Foundation Singapore","keywords":"Nondestructive testing; Reliability (semiconductor); Magnetic field; Integrated circuit; Penetration depth; Field (mathematics); Image resolution; Fast Fourier transform","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002032932,0.0004478891,0.0002444735,0.0004729512,0.0001266644,0.0004982919,0.0004094455,0.0005191519,0.0003612992],"category_scores_gemma":[0.0004542782,0.0002410443,0.0002175071,0.0002329707,0.0004269292,0.0004938448,0.0004143452,0.0002483771,0.0001059537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003277586,"about_ca_system_score_gemma":0.0003699774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001328585,"about_ca_topic_score_gemma":0.002566997,"domain_scores_codex":[0.9999305,0.0000113529,0.000003920647,0.00001905458,0.00002694607,0.000008164131],"domain_scores_gemma":[0.9998581,0.00006211925,0.00003770706,0.00001356572,0.00001891782,0.000009501489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001743271,0.0001400361,0.007473501,0.0003532979,0.00004533435,0.0003981997,0.0003641368,0.3251567,0.5091225,0.01228995,0.0009381759,0.1435439],"study_design_scores_gemma":[0.00001048166,0.00005360641,0.002504205,0.0000113027,0.00000958642,0.0001756576,0.00004001342,0.9488685,0.04605574,0.00133621,0.0009068099,0.00002788431],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2084457,0.0004587206,0.7882627,0.0001490662,0.00001841858,0.00005603442,0.0001297848,0.0004756511,0.002003876],"genre_scores_gemma":[0.6591995,0.000395425,0.3392471,0.00005302654,0.00001761042,0.00005249825,0.0001185716,0.00004014224,0.0008760567],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001328585,"threshold_uncertainty_score":0.002641737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01194126478389703,"score_gpt":0.2487907968257072,"score_spread":0.2368495320418101,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}